Study On Evaluation Methods Of Jamming Effect On Synthetic Aperture Radar

Synthetic Aperture Radar (SAR), which plays a significant role in hign technology local war, is a very important component of strategic reconnaissance and surveillance systems. At present, lots of SAR jamming methods have been proposed, but there is no unified standards and theoretical innovation in SAR jamming effect evaluation, which may baffle the continued development of SAR jamming and anti-jamming in certain extent. The dissertation is accomplished in order to meet the needs of military affairs, and the main research work is achieved as follows:1,New battle efficiency evaluation methods for traditional jamming to SARWithout considering correlation of pixels and the perceptual characteristics of Human Vision System (HVS), traditional SAR image quality evaluation indexes are limited, so that the subjective and the objective means can not come to consistent. On the basis, the method of modified structural similarity and the method weighted by wavelet simulated contrast sensitivity function (CSF) property are proposed. The former introduces structural similarity in the field of SAR jamming evaluation, utilizing local variance similarity and gradient value as modified index in deducing improved evaluation model. The latter makes use of CSF as juncture between the subjective and the objective evaluation methods, as well as the characteristic of wavelet transformation which matches with the human vision system's multichannel model, and the improved index is obtained. Simulation results show that the improved evaluation indexes have an obvious advantage over traditional evaluation indexes. Besides reflecting the influences of jamming on Region of Interest (ROI) in image, they can perform much better in keeping identical to Human Vision System (HVS), and furthermore, they improve the efficiency and accuracy of entire evaluation system.2,Battle efficiency evaluation method for advanced jamming to SARWith the emergencing of micro motion modulation jamming, intermittent sampling repeater jamming, and so on, advanced jamming methods can not only guide the future development trend of SAR coherent jamming, but also put the study of battle efficiency evaluation method into agenda. Based on the character of advanced jamming effect to SAR, the dissertation proposes a synthetical evaluation method combining deceptive degree and blanket degree for the first time, and the evaluation risk is reduced through introducing human decision and reactive mechanism in the process of evaluation. Besides, the feasibility of new evaluation method is validated by outfield experiment system of Rail-SAR. Eventually, an equivalent calculation model for battle object of SAR is established, and the validity of evaluation method is confirmed.3,The design and application of synthetical evaluation method for SAR jamming effect Combining the work flow of typical SAR system, a systematic evaluation pattern of multi-arrangement data source fusion is put forward. Besides utilizing evaluation index set to replace single index, which can eliminate uncertainty of evaluation using more information, the new method takes neural network as nonlinear fusion tool to achieve the thought of robust evaluation. Finally, SAR jamming optimization is introduced in terms of application, and robust optimization strategy based on Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is proposed.The research in the dissertation stems from practical project, and its conclusion and methods are mostly applied in practice with fairly good effects.